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Matrices and Vectors

Lines and Planes in Space

Mathematics I 317 words Free to read

Geometry Through Vectors

Vectors give clean descriptions of the basic objects of geometry — lines and planes — in any dimension. The idea: locate a point, then move along direction vectors.

A line through a point P0P_0 (position vector r0\mathbf{r}_0) with direction vector d\mathbf{d} is the set of points r=r0+td,tR.\mathbf{r} = \mathbf{r}_0 + t\,\mathbf{d}, \qquad t \in \mathbb{R}. The parameter tt slides you along the line; the direction d\mathbf{d} sets the heading. This parametric form works identically in 2D, 3D, or higher, unlike slope-intercept form which is stuck in the plane.

A plane is captured most elegantly by a normal vector n\mathbf{n} — a vector perpendicular to the plane. A point r\mathbf{r} lies in the plane through P0P_0 with normal n\mathbf{n} exactly when the displacement rr0\mathbf{r} - \mathbf{r}_0 is perpendicular to n\mathbf{n}: n(rr0)=0.\mathbf{n} \cdot (\mathbf{r} - \mathbf{r}_0) = 0. Expanded, this is the familiar ax+by+cz=dax + by + cz = d, where (a,b,c)(a, b, c) is the normal vector — reading the coefficients off a plane's equation gives its normal directly.

These descriptions turn geometry into vector algebra. The angle between two planes is the angle between their normals (via the dot product); two planes are parallel when their normals are parallel and perpendicular when their normals are orthogonal. The distance from a point to a plane, the intersection of a line and a plane, and whether lines are skew all reduce to dot and cross products — the payoff of the vector machinery built in this unit.

Common pitfall: confusing a plane's normal vector with a direction lying in the plane. The normal is perpendicular to the plane — and it is exactly the coefficient vector (a,b,c)(a, b, c) in ax+by+cz=dax + by + cz = d, not a vector pointing along the plane. Two planes are parallel when their normals are parallel; using a within-plane direction instead of the normal inverts the geometry.

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Matrices and Vectors